Hi, I’m Sreelekha Maganti, a software engineer based in San Jose, CA, with 3 years of experience designing, developing, and validating enterprise-grade, large-scale systems across autonomous vehicle technology, fintech, insurance, and banking domains. I build scalable microservices, automated test frameworks, and AI-driven solutions using Java, Python, TypeScript, Spring Boot, FastAPI, and Node.js. I enjoy cross-functional collaboration, problem-solving, and process optimization to improve reliability, scalability, and product quality. I thrive in distributed environments, leveraging React, Next.js, PostgreSQL, MongoDB, AWS, and observability tools like Prometheus and Grafana. I am passionate about telemetry analysis, hardware–software integration, and delivering measurable improvements in system performance and user experience.

Sreelekha Maganti

Hi, I’m Sreelekha Maganti, a software engineer based in San Jose, CA, with 3 years of experience designing, developing, and validating enterprise-grade, large-scale systems across autonomous vehicle technology, fintech, insurance, and banking domains. I build scalable microservices, automated test frameworks, and AI-driven solutions using Java, Python, TypeScript, Spring Boot, FastAPI, and Node.js. I enjoy cross-functional collaboration, problem-solving, and process optimization to improve reliability, scalability, and product quality. I thrive in distributed environments, leveraging React, Next.js, PostgreSQL, MongoDB, AWS, and observability tools like Prometheus and Grafana. I am passionate about telemetry analysis, hardware–software integration, and delivering measurable improvements in system performance and user experience.

Available to hire

Hi, I’m Sreelekha Maganti, a software engineer based in San Jose, CA, with 3 years of experience designing, developing, and validating enterprise-grade, large-scale systems across autonomous vehicle technology, fintech, insurance, and banking domains. I build scalable microservices, automated test frameworks, and AI-driven solutions using Java, Python, TypeScript, Spring Boot, FastAPI, and Node.js. I enjoy cross-functional collaboration, problem-solving, and process optimization to improve reliability, scalability, and product quality.

I thrive in distributed environments, leveraging React, Next.js, PostgreSQL, MongoDB, AWS, and observability tools like Prometheus and Grafana. I am passionate about telemetry analysis, hardware–software integration, and delivering measurable improvements in system performance and user experience.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Software Engineer at Zoox (Contract via Procom Services America Inc)
October 1, 2025 - Present
Contribute to the System Integration & Validation (SIV) team for autonomous vehicle technology. Design, develop, and validate automated test frameworks enabling hardware–software integration, diagnostic verification, and regression automation for vehicle systems. Perform system-level debugging and telemetry analysis to identify issues affecting real-time performance. Use internal tools for system monitoring and analytics, and collaborate with cross-functional hardware, software, and QA teams to improve test efficiency and validation throughput.
Software Engineer at Procom Services America Inc (Client: Autonomous Vehicle Technology Company)
October 1, 2025 - November 24, 2025
Supported the System Integration & Validation (SIV) team for large-scale bring-up, verification, and end-to-end validation of autonomous vehicle technology and robotic platforms. Designed, developed, and validated automated test frameworks enabling hardware–software integration, diagnostic verification, and regression automation for vehicle systems. Conducted system-level debugging and telemetry analysis to identify and resolve issues impacting real-time vehicle behavior. Used internal tools such as Zalender, Overwatch, Riderdash, Telegraph, and Teledash for telemetry visualization and performance analytics. Coordinated workflow management and issue resolution via JIRA, Google Sheets, and Excel to ensure traceability from test execution to production deployment. Collaborated with cross-functional hardware, software, and QA teams to align milestones, perform root-cause analysis, and improve test efficiency. Applied advanced CS principles including AI, distributed computing, and algori
Software Engineer at Procom Services America Inc
October 1, 2025 - November 24, 2025
Contributed to the System Integration & Validation (SIV) team supporting large-scale system bring-up, verification, and end-to-end validation of autonomous vehicle technology and robotic platforms. Designed, developed, and validated automated test frameworks enabling hardware–software integration, diagnostic verification, and regression automation for vehicle systems. Performed system-level debugging, telemetry analysis, and data correlation to identify and resolve issues impacting vehicle behavior and real-time performance. Used internal engineering tools such as Zalender, Overwatch, Riderdash, Telegraph, and Teledash for system monitoring and performance analytics. Coordinated workflow management and issue resolution through JIRA, Google Sheets, and Excel, ensuring traceability from test execution to production deployment. Collaborated with cross-functional hardware, software, and QA teams to align integration milestones, perform root-cause analysis, and improve test efficiency. Ap
Software Engineer at PNC
September 1, 2025 - September 1, 2025
Spearheaded development of AI-Enhanced Treasury Management Insights, leveraging predictive analytics and machine learning to improve cash flow forecasting and risk detection for corporate clients. Implemented FastAPI and Python-based microservices integrated with PostgreSQL and Firebase, enabling scalable real-time data processing. Utilized HuggingFace Transformers, Scikit-learn, and LLMs (GPT, Claude, BERT) to deliver advanced anomaly detection and trend analysis. Deployed solutions on AWS with Docker and Kubernetes, while integrating Prometheus and Grafana for monitoring and system observability. Partnered with treasury stakeholders in an Agile/Scrum environment, ensuring AI-driven insights aligned with evolving financial strategies and compliance standards.
Software Engineer at PNC (Contract)
June 1, 2025 - September 1, 2025
Spearheaded AI-enhanced Treasury Management insights, delivering predictive analytics for cash flow forecasting and risk detection. Implemented FastAPI and Python-based microservices with PostgreSQL and Firebase for scalable real-time processing. Leveraged HuggingFace Transformers, Scikit-learn, and LLMs (GPT, Claude, BERT) for anomaly detection and trend analysis. Deployed on AWS with Docker and Kubernetes, and integrated Prometheus and Grafana for monitoring and observability. Collaborated with treasury stakeholders in an Agile/Scrum environment.
Software Engineer at Fidelity Information Services
June 1, 2023 - June 1, 2023
Engineered and modified program logic for new and existing fintech applications using Java, Spring, JAX-RS, and Python, supporting the full SDLC. Evaluated reports and data extracts to ensure compliance with business requirements and regulatory standards, maintaining data integrity through detailed analysis and problem-solving. Optimized ETL workflows with Apache Airflow, ensuring timely pipeline execution, 100% uptime, and uninterrupted financial reporting. Directed QA efforts for the Modern Banking Platform, cutting software defects by 20% through rigorous functional and non-functional testing and root cause analysis. Executed backend, upgrade, and automated regression tests, boosting efficiency by 15% and reducing time-to-market by 10%. Authored detailed test cases, scripts, and plans, ensuring complete traceability and robust validation across multiple product releases. Guided junior developers by providing mentorship on coding standards, debugging strategies, and best practices, e
Software Engineer at Fidelity Information Services
February 1, 2022 - June 1, 2023
Engineered and modified program logic for fintech applications using Java, Spring, JAX-RS, and Python. Optimized ETL workflows with Apache Airflow, achieving high uptime and reliable financial reporting. Directed QA for the Modern Banking Platform, reducing defects by 20% through rigorous testing and root-cause analysis. Executed backend, upgrade, and automated regression tests, improving release efficiency. Authored detailed test plans and mentored junior developers on coding standards and debugging practices.
Software Engineer at Trigent
January 1, 2022 - January 1, 2022
Contributed to the Superior SaaS Solution for Group Insurance Platform, re-engineering quoting, enrolment, and premium billing workflows to enhance scalability and client adoption. Developed and optimized RESTful APIs using Java (Spring Boot) and Express.js, ensuring high availability and secure communication across modules. Designed and implemented responsive self-service portals with HTML5, CSS3, Bootstrap, and Redux, improving user experience. Integrated MySQL and MongoDB databases, streamlining data storage, retrieval, and reporting for policy and claims management. Enhanced QA by creating unit and integration tests with Jest and React Testing Library, reducing regression defects by 35%. Automated builds and deployments using Docker and Jenkins, accelerating release cycles and improving delivery consistency. Applied Object-Oriented Design (OOD) and design patterns to develop maintainable and reusable components. Collaborated with cross-functional teams in an Agile/Scrum environment
Software Engineer at Trigent
October 1, 2020 - January 1, 2022
Contributed to the Superior SaaS Solution for Group Insurance Platform by re-engineering quoting, enrolment, and premium billing workflows for scalability. Developed RESTful APIs using Java (Spring Boot) and Express.js; built responsive self-service portals. Integrated MySQL and MongoDB to support policy and claims data. Enhanced QA with unit and integration tests, automated builds with Docker and Jenkins, and applied OOD/design patterns in a collaborative Agile/Scrum environment.

Education

Master of Science in Computer Science at California State University, Long Beach
August 1, 2023 - May 1, 2025
Master of Science in Computer Science at California State University, Long Beach
August 1, 2023 - May 1, 2025
Master of Science in Computer Science at California State University, Long Beach
August 1, 2023 - May 1, 2025

Qualifications

AWS Certified Solutions Architect Associate
January 11, 2030 - November 24, 2025
Salesforce AI Associate
January 11, 2030 - November 24, 2025
AWS Certified Solutions Architect Associate
January 11, 2030 - November 24, 2025
Salesforce AI Associate
January 11, 2030 - November 24, 2025
AWS Certified Solutions Architect Associate
January 11, 2030 - January 27, 2026
Salesforce AI Associate
January 11, 2030 - January 27, 2026

Industry Experience

Software & Internet, Financial Services, Transportation & Logistics, Media & Entertainment, Professional Services